Transforming medicine through AI-enabled healthcare pathways

Learn more Register now Add to Calendar 06/03/2019 06:00 PM 06/03/2019 08:00 PM Europe/London Transforming medicine through AI-enabled healthcare pathways Location of the event
Monday 03 Jun 2019
Time: 18:00 - 20:00

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Funded by the Strategic Priorities Fund EPSRC Grant EP/T001569/1

About the event

Advances in machine learning are set to transform medicine, yet considerable challenges exist.  These include hard technical ones such as the complexity and quality of healthcare data, the need to consider multiple interactions between the diverse events over a patient’s life and the difficulty of estimating counterfactual outcomes.  These challenges are exacerbated by practical ones – the requirement for cross-disciplinary collaboration, the delivery and transferability of any solutions between health systems at scale both nationally and internationally, the deployment of a service that provides tailored patient-level intelligence in near-real-time and most fundamentally, the absence of a way to conceptualise the complexity of healthcare to support interdisciplinary collaboration. 

The speakers in this talk have joined forces to work on these challenges.  We have combined a world-leading team in machine learning with the world’s largest, near-real time, high-quality cancer data collection service.  Together we have built a test and development environment to create new methods for the near-real-time analysis of patient-level cancer data, that once tested, can then be rapidly integrated into the same national data collection service to benefit all patients. 

In this talk we will explain the background to our work and demonstrate how we have addressed some of these challenges.  By using cancer as an exemplar, we aim to create a system-theoretical approach to healthcare that will help facilitate a deeper understanding of medicine and foster rigorous interdisciplinary working.



18:00 - 18:30 Registration
18:30 - 18:35  Introduction (Sir Alan Wilson, Director of Special Projects, The Alan Turing Institute)
18:35 - 19:35 Transforming medicine through AI-enabled healthcare pathways (Mihaela van der Schaar and Jem Rashbass)
19:35 - 20:00 Q&A (Chaired by Sir Alan Wilson)
20:00 Close


Professor Mihaela van der Schaar

Turing Fellow, John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and Founder and Director of the Cambridge Centre for AI in Medicine




Royal College of Physicians

11 St Andrews Place 



51.5259246, -0.14525170000002